the variable we will be using is the average max temperature for each year from 2012 to 2019

years	2019	2018	2017	2016	2015	2014	2013	2012
temperatures	97	103	99	93	99	95	100	109
weights	.1	.1	.2	.1	.2	.1	.1	.1

1. calculate the following for the data given:

A: moving average, weighted moving average, and exponential smoothing

B: the number of periods used in the moving average method. for all 8 years

C: the weights used in the weighted moving average. for all 8 years

D: the value of used in exponential smoothing where = 0.6. for all 8 years

2. state the following :

A: the number of periods used in the moving average method.

B: the weights used in the weighted moving average.

C: the value of used in exponential smoothing.

D: Write a sentence that identifies the prediction.

3. Clearly indicate the "next period" prediction for each method.

4: Suppose that the forecasting results are from three different branches of a company.

A: Based on the MAD (mean absolute deviation) value, how would you prioritize the need to update the forecasting methods to improve overall predictions? Note: The higher the MAD value, the worse the forecast.

B: Indicate a rank of 1, 2, or 3 along with the justification for the ranking with a 1 being the highest priority.

form the answer into a 350 word essay